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Disambiguation of "Gerstgrasser, Matthias"

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Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease.

, , , , , , , , , , , , and . AIME, volume 10259 of Lecture Notes in Computer Science, page 65-75. Springer, (2017)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Patricia Gerstgrasser

Matthias Meyer

Musterbasiertes Re-Engineering von Softwaresystemen. Uni Paderborn, (2009)

Matthias Hägele

Immunrekonstitution nach haploidenter hämatopoetischer Stammzelltransplantation: Einfluss eines CD3-CD19-depletierten gegenüber einem CD34-selektionierten Transplantat. Uni Tübingen, (2008)

Matthias Schmidt

Topographische Verteilung und Morphometrie von retinalen Mikrogliazellen. Uni Münster, (2009)

Matthias Möller

Antikaons in infinite nuclear matter and nuclei. TU Darmstadt, (2007)
 

Other publications of authors with the same name

Revenue Maximization for Market Intermediation with Correlated Priors., , and . SAGT, volume 9928 of Lecture Notes in Computer Science, page 273-285. Springer, (2016)Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease., , , , , , , , , and 3 other author(s). AIME, volume 10259 of Lecture Notes in Computer Science, page 65-75. Springer, (2017)A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters., , , , , , and . J. Bioinform. Comput. Biol., 14 (3): 1650007:1-1650007:23 (2016)Multi-Unit Bilateral Trade., , , , and . AAAI, page 1973-1980. AAAI Press, (2019)CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning., , and . ICLR, OpenReview.net, (2022)Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data., , , , , , , , , and 4 other author(s). CoRR, (2024)Grounding or Guesswork? Large Language Models are Presumptive Grounders., , , , , and . CoRR, (2023)Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning., , and . AAMAS, page 2433-2435. ACM, (2023)Grounding Gaps in Language Model Generations., , , , , and . NAACL-HLT, page 6279-6296. Association for Computational Linguistics, (2024)Market intermediation: information, computation, and incentives.. University of Oxford, UK, (2018)British Library, EThOS.